Constructing energy-efficient database systems to reduce economic costs and
environmental impact has been studied for 10 years. With the emergence of the big data …

Finding the optimal join order (JO) is one of the most important problems in query
optimisation, and has been extensively considered in research and practise. As it involves …

Database management systems are facing growing data volumes. Previous research
suggests that GPUs are well-equipped to quickly process joins and similar stateful …

Joining streams is an essential and resource-demanding operation in stream processing
engines (SPEs). Recent works have shown significant performance benefits by offloading …

Engineering high-performance query execution engines is a challenging task. Query
compilation provides excellent performance, but at the same time introduces significant …

Abstract The Internet of Things (IoT) presents a novel computing architecture for data
management: a distributed, highly dynamic, and heterogeneous environment of massive …

Window aggregations and windowed joins are central operators of modern real-time
analytic workloads and significantly impact the performance of stream processing systems …

With increasing main memory sizes, data processing has significantly shifted from
secondary storage to main memory. However, choosing a good join order is still very …

Today's IoT applications exploit the capabilities of three different computation environments:
sensors, edge, and cloud. Ensuring fault tolerance at the edge level presents unique …

Satellites have become more widely available due to the reduction in size and cost of their
components. As a result, there has been an advent of smaller organizations having the …